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Articles 1 - 30 of 52
Full-Text Articles in Physical Sciences and Mathematics
Lyraquist: Language Learning Via Music App, Vivian D'Souza, Siri Avula, Mahi Patel, Tanvi Singh, Ashley Bickham
Lyraquist: Language Learning Via Music App, Vivian D'Souza, Siri Avula, Mahi Patel, Tanvi Singh, Ashley Bickham
Senior Theses
Lyraquist is a new language learning mobile app that encourages the practice of a foreign language through music. Language learners can connect their Spotify Premium account to Lyraquist to listen to music in their target languages and utilize tools such as translation and vocabulary lists to facilitate language practice. Through integration with Spotify, users can import and create Spotify playlists and search the service’s entire catalog. By combining daily listening habits with several tasks associated with language learning in one place, Lyraquist hopes to be a useful language learning tool.
Using Music And Storytelling As Strategies For Conservation Education, Frances Hincks
Using Music And Storytelling As Strategies For Conservation Education, Frances Hincks
Honors College Theses
Given the frequently negative effects each person imposes on their environment (e.g., resource consumption, use of private and public land, and waste production), the public needs to be included in conservation messaging to sustain a healthy, functioning planet. People are generally not informed about conservation topics, which creates difficulties in creating a conservation mindset. Moreover, there is a disconnect between conservation research and presenting conservation related topics to the public in a coherent, accessible format. Thus, conservation education messaging strategies need to be evaluated to determine which are most effective. The objective of this research was to determine the effectiveness …
An Interactive System For Generating Music From Moving Images, Hanlin Wang
An Interactive System For Generating Music From Moving Images, Hanlin Wang
Dartmouth College Master’s Theses
Moving images contain a wealth of information pertaining to motion. Motivated by the interconnectedness of music and movement, we present a framework for transforming the kinetic qualities of moving images into music. We developed an interactive software system that takes video as input and maps its motion attributes into the musical dimension based on perceptually grounded principles. The system combines existing sonification frameworks with theories and techniques of generative music. To evaluate the system, we conducted a two-part experiment. First, we asked participants to make judgements on video-audio correspondence from clips generated by the system. Second, we asked participants to …
Mathematical Structure Of Musical Tuning Systems, Shay Joel Francis Spitzer
Mathematical Structure Of Musical Tuning Systems, Shay Joel Francis Spitzer
Senior Projects Spring 2023
Over the course of history, western music has created a unique mathematical problem for itself. From acoustics, we know that two notes sound good together when they are related by simple ratios consisting of low primes. The problem arises when we try to build a finite set of pitches, like the 12 notes on a piano, that are all related by such ratios. We approach the problem by laying out definitions and axioms that seek to identify and generalize desirable properties. We can then apply these ideas to a broadened algebraic framework. Rings in which low prime integers can be …
Exploration Of Digital Synthesis, Angelo Indre
Exploration Of Digital Synthesis, Angelo Indre
Williams Honors College, Honors Research Projects
“An Exploration of Digital Synthesis” is a comprehensive investigation into the world of digital audio and music production. The paper explores the fundamental concepts of sound synthesis, including MIDI, virtual instruments (VSTs), and the JUCE framework. The central focus of the paper is the implementation of a custom synthesizer, which serves as a case study for the practical application of digital synthesis. The paper addresses the key question of how to create a functioning synthesizer from scratch, providing detailed insights into the programming and design process. Overall, the paper represents a significant contribution to the fields of digital audio and …
The Planets, Reimagined: Translating Science Into Music, Kaitlyn Wincup
The Planets, Reimagined: Translating Science Into Music, Kaitlyn Wincup
Honors Projects
Inspired by Gustav Holst’s The Planets, this project analyzed the qualitative properties of the planets in our Solar System and translated them into a composition, created by Connor Gibbs, to represent an overall aural depiction of each planet. Where Holst created an astrological depiction of each of the planets, this piece is an astronomical depiction that broadens the perspectives of its listeners.
Wordmuse, John M. Nelson
Wordmuse, John M. Nelson
Computer Science and Software Engineering
Wordmuse is an application that allows users to enter a song and a list of keywords to create a new song. Built on Spotify's API, this project showcases the fusion of music composition and artificial intelligence. This paper also discusses the motivation, design, and creation of Wordmuse.
The Significance Of Sonic Branding To Strategically Stimulate Consumer Behavior: Content Analysis Of Four Interviews From Jeanna Isham’S “Sound In Marketing” Podcast, Ina Beilina
Student Theses and Dissertations
Purpose:
Sonic branding is not just about composing jingles like McDonald’s “I’m Lovin’ It.” Sonic branding is an industry that strategically designs a cohesive auditory component of a brand’s corporate identity. This paper examines the psychological impact of music and sound on consumer behavior reviewing studies from the past 40 years and investigates the significance of stimulating auditory perception by infusing sound in consumer experience in the modern 2020s.
Design/methodology/approach:
Qualitative content analysis of audio media was used to test two hypotheses. Four archival oral interview recordings from Jeanna Isham’s podcast “Sound in Marketing” featuring the sonic branding experts …
Computational Approaches To Facilitate Automated Interchange Between Music And Art, Rao Hamza Ali
Computational Approaches To Facilitate Automated Interchange Between Music And Art, Rao Hamza Ali
Computational and Data Sciences (PhD) Dissertations
Recently, there has been a tremendous increase in generating and synthesizing music and art using various computational techniques. An area that is still under-researched, however, is how one medium can be converted into the other, while maintaining the overall aesthetics. Over the last few centuries, artists, composers, and scholars, have attempted to use substitute one form of art for the other: by proposing techniques where music notes are synonymous to colors, by inventing instruments that combine the aesthetics of music and visual art, and by incorporating the two media in live performances. A widely accepted computational approach, for the conversion, …
Exploring Music Genres: A Study Of Optimal Differentiation By Feature, Rebecca Stetler
Exploring Music Genres: A Study Of Optimal Differentiation By Feature, Rebecca Stetler
Honors Projects
This study explores the presence of optimal differentiation in music at the feature level by genre. Popularity prediction models are constructed and used to identify influential features in predicting popularity in each genre. These influential features are then assessed for optimal differentiation of the most popular songs from all songs in the genre.
A New Way To Make Music: Processing Digital Audio In Virtual Reality, Gavin E. Payne
A New Way To Make Music: Processing Digital Audio In Virtual Reality, Gavin E. Payne
Senior Projects Spring 2022
The work of this project attempts to provide new methods of creating music with technology. The product, Fields, is a functional piece of virtual reality software, providing users an immersive and interactive set of tools used to build and design instruments in a modular manner. Each virtual tool is analogous to musical hardware such as guitar pedals, synthesizers, or samplers, and can be thought of as an effect or instrument on its own. Specific configurations of these virtual audio effects can then be played to produce music, and then even saved by the user to load up and play with …
The Temple Of Immensity: For Choir And Electronics, Steven Naylor
The Temple Of Immensity: For Choir And Electronics, Steven Naylor
Honors Projects
the temple of immensity is a composition for 16-part choir and fixed media electronics composed by Steven Naylor using astronomical data concerning the stars nearest to Earth and their properties. “The temple of immensity” is an archaic and rarely used term, defined as “the universe or the complete overhead expanse of the heavens, especially as conceived as an object of religious reverence.” This piece seeks to convey feelings of wonder and awe for outer space through the setting of an original self-composed poem and through the use of star data to determine musical aspects. The resulting 28-minute composition blends voices …
Analysis Of Music Genre Clustering Algorithms, Samuel Walter Stern
Analysis Of Music Genre Clustering Algorithms, Samuel Walter Stern
Theses and Dissertations
Classification and clustering of music genres has become an increasingly prevalent focusin recent years, prompting a push for research into relevant algorithms. The most successful algorithms have typically applied the Naive Bayes or k-Nearest Neighbors algorithms, or used Neural Networks to perform classification. This thesis seeks to investigate the use of unsupervised clustering algorithms such as K-Means or Hierarchical clustering, and establish their usefulness in comparison to or conjunction with established methods.
Markov Model Composition Of Balinese Reyong Norot Improvisations, Taylor Flanagan, Robert Rovetti
Markov Model Composition Of Balinese Reyong Norot Improvisations, Taylor Flanagan, Robert Rovetti
Honors Thesis
Markov models are mathematical structures that model the transition between possible states based on the probability of moving from one state to any other. Thus, given a distribution of starting points, the model produces a chain of states that are visited in sequence. Such models have been used extensively to generate music based on probabilities, as sequences of states can represent sequences of notes and rhythms. While music generation is a common application of Markov models, most existing work attempts to reconstruct the musical style of classical Western composers. In this thesis, we produce a series of Markov chains that …
Content Adaption And Design In Mobile Learning Of Wind Instruments, Neha Priyadarshani
Content Adaption And Design In Mobile Learning Of Wind Instruments, Neha Priyadarshani
Browse all Theses and Dissertations
People in today's world seek things that are simple to use. Learning is one of the most crucial aspects of the ongoing digital transformation. Everything is now accessible with a single click on mobile devices, making access to instructional materials faster, easier, and more comfortable. It takes time and effort to build abilities and become an expert in the fields of learning, training, and teaching; and music learning demands a great deal of both practice and mentoring. Initially, music teachers and band directors must maintain a steady attention and devote a significant amount of time to manually teaching materials. This …
Content Adaption And Design In Mobile Learning Of Wind Instruments, Neha Priyadarshani
Content Adaption And Design In Mobile Learning Of Wind Instruments, Neha Priyadarshani
Browse all Theses and Dissertations
People in today's world seek things that are simple to use. Learning is one of the most crucial aspects of the ongoing digital transformation. Everything is now accessible with a single click on mobile devices, making access to instructional materials faster, easier, and more comfortable. It takes time and effort to build abilities and become an expert in the fields of learning, training, and teaching; and music learning demands a great deal of both practice and mentoring. Initially, music teachers and band directors must maintain a steady attention and devote a significant amount of time to manually teaching materials. This …
Impromptune: Symbolic Music Generation With Relative Attention Mechanisms, Connor J. Lennox
Impromptune: Symbolic Music Generation With Relative Attention Mechanisms, Connor J. Lennox
Honors Theses and Capstones
By combining attention-based mechanisms that have proved beneficial in the field of natural language processing with domain-specific knowledge about the structure of music, better predictions about piece continuations can be made. The goal of this work is to adapt current natural language processing techniques to a musical domain, and to generate new music by predicting continuations on a sequence of notes. An adaptation of traditional attention mechanisms to create a single prediction from sequential input is used to extend musical pieces by appending new elements repeatedly.
The Spiral Model For Generative Harmony, Jackson Guy Spargur
The Spiral Model For Generative Harmony, Jackson Guy Spargur
Senior Projects Spring 2020
Generative music is a broad and well-explored field, in which researchers have attempted various approaches at creating algorithmic models for the creation of music. Researchers may attempt to model the composition of melody, or of musical phrase structure, or, as is the focus of this paper, the harmonization of multiple voices. I use as the core of my model Elaine Chew’s “Spiral Array”, outlined in her 2000 thesis “Towards a Mathematical Model Of Tonality”. Chew’s applications for this model were all analytical, gaining insights about human-composed pieces of music by running them through her model. My project is comprised of …
A Machine Learning Approach To The Perception Of Phrase Boundaries In Music, Evan Matthew Petratos
A Machine Learning Approach To The Perception Of Phrase Boundaries In Music, Evan Matthew Petratos
Senior Projects Fall 2020
Segmentation is a well-studied area of research for speech, but the segmentation of music has typically been treated as a separate domain, even though the same acoustic cues that constitute information in speech (e.g., intensity, timbre, and rhythm) are present in music. This study aims to sew the gap in research of speech and music segmentation. Musicians can discern where musical phrases are segmented. In this study, these boundaries are predicted using an algorithmic, machine learning approach to audio processing of acoustic features. The acoustic features of musical sounds have localized patterns within sections of the music that create aurally …
The Impact Of Live Coding Within An Educational And Performance Setting, Alexus Renee Foster
The Impact Of Live Coding Within An Educational And Performance Setting, Alexus Renee Foster
Senior Projects Spring 2020
For the past three semesters at Bard, live coding has become my newest form of creative expression and performance. This method of coding involves either creating on the spot from scratch or editing pre-existing code in a real time manner. There is no real set structure or steps that must be followed, however, one rule must always be followed: show your code. In the classroom, live coding occurs when the professor demonstrates some algorithm by displaying the program on a projector for the entire class to observe. During musical performances, the same improvisational nature of live coding is also present, …
Mobile Music Development Tools For Creative Coders, Daniel Stuart Holmes
Mobile Music Development Tools For Creative Coders, Daniel Stuart Holmes
LSU Doctoral Dissertations
This project is a body of work that facilitates the creation of musical mobile artworks. The project includes a code toolkit that enhances and simplifies the development of mobile music iOS applications, a flexible notation system designed for mobile musical interactions, and example apps and scored compositions to demonstrate the toolkit and notation system.
The code library is designed to simplify the technical aspect of user-centered design and development with a more direct connection between concept and deliverable. This sim- plification addresses learning problems (such as motivation, self-efficacy, and self-perceived understanding) by bridging the gap between idea and functional prototype …
Market Research On Student Concert Attendance At Bgsu's College Of Musical Arts, Mary Solomon
Market Research On Student Concert Attendance At Bgsu's College Of Musical Arts, Mary Solomon
Honors Projects
Bowling Green State University boasts a well established College of Musical Arts which holds concerts performed by esteemed faculty, prestigious guest artists, and students. The school hosts these events in Kobacker Hall and Bryan Recital Hall which can accommodate up to 800 and 250 audience members, respectively. However, performances in Kobacker hall only fill one- fourth of the 800 seats, on average. Why is this so? This project aims to investigate the factors that influence students’ decisions to attend concerts at the College of Musical Arts (CMA). By methodology of survey research and statistical analysis, this project will look into …
Patterns, Symmetries, And Mathematical Structures In The Arts, Sarah C. Deloach
Patterns, Symmetries, And Mathematical Structures In The Arts, Sarah C. Deloach
Honors College Theses
Mathematics is a discipline of academia that can be found everywhere in the world around us. Mathematicians and scientists are not the only people who need to be proficient in numbers. Those involved in social sciences and even the arts can benefit from a background in math. In fact, connections between mathematics and various forms of art have been discovered since as early as the fourth century BC. In this thesis we will study such connections and related concepts in mathematics, dances, and music.
An Investigation Of Clarinet Playing Using A Sensor-Equipped Mouthpiece, Camille Adkison
An Investigation Of Clarinet Playing Using A Sensor-Equipped Mouthpiece, Camille Adkison
Honors Program Theses
The purpose of this study is to characterize clarinet playing techniques through measurements of the pressure in the clarinet mouthpiece while a musician plays and to investigate the methods by which clarinet players transition from note to note, termed articulations. The results provide information about the clarinet-player system that can be incorporated in future models of the clarinet. The work reported here involves the use of a recent technological development, the sensor-equipped mouthpiece. Using the sensor-equipped mouthpiece, researchers are able to record pressure in the musician's mouth and the clarinet mouthpiece. Six clarinet players of varying experience levels were asked …
Practice Room Acoustics: What Matters To Musicians About The Practice Space, Yu-Tien Chou
Practice Room Acoustics: What Matters To Musicians About The Practice Space, Yu-Tien Chou
Senior Projects Spring 2019
Why do people always prefer the practice room in the corner on the second floor than the others? What’s the reason why string players often go for the “dryer” room than the wind players? Wondering why brass players often occupy the resonant room? This paper is here to decipher all the mysteries behind all of the questions above by the acoustic analysis suggested by Bonnelo and the other supplying papers on sound absorbing materials. The question to be answered is how the rooms are different from each other in terms of their dimensions and damping surfaces. Eventually, construct a criteria …
Queue: A Mobile Application For Collaborative Music Playlists, Vlad Mirea
Queue: A Mobile Application For Collaborative Music Playlists, Vlad Mirea
Williams Honors College, Honors Research Projects
This paper focuses on the design and development of the mobile application “Queue”. Queue is an app for creating music playlists that anyone can add songs to while a host controls playback. The app connects to music streaming services such as Spotify to allow users access to their favorite songs while providing functionality not found in those services.
Algorithmic Music Generation For Pedagogy Of Sight Reading, Ryan Stephen Davis
Algorithmic Music Generation For Pedagogy Of Sight Reading, Ryan Stephen Davis
Electronic Theses and Dissertations
Autodeus is the name of the program that has been developed and was designed to aid guitar students in the attainment and betterment of musical notation sight reading skills. Its primary goal is to provide a very flexible tool that has the ability to generate virtually endless types of sight reading exercises at many various skill levels.
A complimentary 2 year-long comprehensive guitar sight-reading course syllabus can be implemented via Autodeus as it is capable of generating all the necessary exercises. It is able to generate these exercises quickly and efficiently through the use of a back tracking algorithm that …
Two Notes On A Piano, Samuel Thomas
Two Notes On A Piano, Samuel Thomas
Williams Honors College, Honors Research Projects
In an increasingly digital world, the analog tends to be neglected in exchange for the convenience and precision of digital devices. However, many analog systems exhibit physical phenomena that can be difficult to reproduce digitally. The purpose of this project is to explore the piano and parts of its sonic character that are not currently accounted for in digital systems. Specifically, when multiple notes are being propagated on a soundboard, they affect each other’s tone because each one changes the state of the soundboard. The effect is evident in the partials of each note: the partials (not quite harmonics but …
Automatic Music Transcription With Convolutional Neural Networks Using Intuitive Filter Shapes, Jonathan Sleep
Automatic Music Transcription With Convolutional Neural Networks Using Intuitive Filter Shapes, Jonathan Sleep
Master's Theses
This thesis explores the challenge of automatic music transcription with a combination of digital signal processing and machine learning methods. Automatic music transcription is important for musicians who can't do it themselves or find it tedious. We start with an existing model, designed by Sigtia, Benetos and Dixon, and develop it in a number of original ways. We find that by using convolutional neural networks with filter shapes more tailored for spectrogram data, we see better and faster transcription results when evaluating the new model on a dataset of classical piano music. We also find that employing better practices shows …
Music Times: A Music Learning Game, Emily Woo
Music Times: A Music Learning Game, Emily Woo
Computer Science and Software Engineering
Music Times is a two dimensional educational video game with the purpose of gamifying learning of musical concepts. It has elements of adventure and visual novel games, and incentivizes the player to learn music to explore new levels. It is developed in the Unity game engine, scripted in C#, and targeted for mobile devices. It has six working levels: three lesson levels and three corresponding challenge levels. Each level contains slight differences in visual and aural feel.